"Person re-identification"의 두 판 사이의 차이

2017년 5월 11일 (목) 23:55 판

구글에서 걍 검색. 2013년 이후 인용 75 이상인것들.

Mahalanobis distance learning for person re-identification
PM Roth, M Hirzer, M Köstinger, C Beleznai… - … Re-Identification, 2014 - Springer [1] Gong의 책중 한 챕터

Unsupervised salience learning for person re-identification
R Zhao, W Ouyang, X Wang - Proceedings of the IEEE …, 2013 - cv-foundation.org [2]

Learning mid-level filters for person re-identification
R Zhao, W Ouyang, X Wang - Proceedings of the IEEE …, 2014 - cv-foundation.org [3]

Deepreid: Deep filter pairing neural network for person re-identification
W Li, R Zhao, T Xiao, X Wang - Proceedings of the IEEE …, 2014 - cv-foundation.org [4]

Person re-identification by LOMO(local maximal occurrence) representation and metric learning

S Liao, Y Hu, X Zhu, SZ Li - … of the IEEE Conference on Computer …, 2015 - cv-foundation.org [5]

Retinex algorithm
Retinex considers human lightness and color perception. It aims at producing a color image that is consistent to human observation of the scene. The restored image usually contains vivid color in- formation, especially enhanced details in shadowed regions.
- multi-scale Retinex algorithm
SILTP
we also apply the Scale Invariant Local Ternary Pattern (SILTP) [26] descriptor for illumination invariant texture description. SILTP is an im- proved operator over the well-known Local Binary Pattern (LBP) [37]. In fact, LBP has a nice invariant property un- der monotonic gray-scale transforms, but it is not robust to image noises. SILTP improves LBP by introducing a scale invariant local comparison tolerance, achieving invariance to intensity scale changes and robustness to image noises.
Bayesian face
learning the distance function corresponds to estimating the covariant matrices \(\Sigma_I\) and \(\Sigma_E\).
- I : interpersonal , E : extrapersonal. I : 같은 label의 \(\delta\)x, E : 다른 label의 \(\delta\)x.

Person re-identification using kernel-based metric learning methods

F Xiong, M Gou, O Camps, M Sznaier - European conference on computer …, 2014 - Springer [6]

Salient color names for person re-identification
Y Yang, J Yang, J Yan, S Liao, D Yi, SZ Li - European Conference on …, 2014 - Springer [7]

An improved deep learning architecture for person re-identification
E Ahmed, M Jones, TK Marks - Proceedings of the IEEE …, 2015 - cv-foundation.org [8]

Person re-identification by salience matching
R Zhao, W Ouyang, X Wang - Proceedings of the IEEE …, 2013 - cv-foundation.org [9]

Deep metric learning for person re-identification
D Yi, Z Lei, S Liao, SZ Li - Pattern Recognition (ICPR), 2014 …, 2014 - ieeexplore.ieee.org [10]

A survey of approaches and trends in person re-identification
A Bedagkar-Gala, SK Shah - Image and Vision Computing, 2014 - Elsevier [11]

Person re-identification by video ranking
T Wang, S Gong, X Zhu, S Wang - European Conference on Computer …, 2014 - Springer [12]

Learning to rank in person re-identification with metric ensembles
S Paisitkriangkrai, C Shen… - Proceedings of the IEEE …, 2015 - cv-foundation.org [13]

이 외에도 엄청많음... 그냥 정리 포기.

뜨는필드인가. 왜이렇게 논문이 많아.

@@ 1번째 줄: / 1번째 줄: @@
 구글에서 걍 검색. 2013년 이후 인용 75 이상인것들.
 * <del>Mahalanobis distance learning for person re-identification<br>PM Roth, M Hirzer, M Köstinger, C Beleznai… - … Re-Identification, 2014 - Springer [http://link.springer.com/chapter/10.1007/978-1-4471-6296-4_12]</del> Gong의 책중 한 챕터
 * Unsupervised salience learning for person re-identification<br>R Zhao, W Ouyang, X Wang - Proceedings of the IEEE …, 2013 - cv-foundation.org [http://www.cv-foundation.org/openaccess/content_cvpr_2013/html/Zhao_Unsupervised_Salience_Learning_2013_CVPR_paper.html]
 * Learning mid-level filters for person re-identification<br>R Zhao, W Ouyang, X Wang - Proceedings of the IEEE …, 2014 - cv-foundation.org [http://www.cv-foundation.org/openaccess/content_cvpr_2014/html/Zhao_Learning_Mid-level_Filters_2014_CVPR_paper.html]
 * Deepreid: Deep filter pairing neural network for person re-identification<br>W Li, R Zhao, T Xiao, X Wang - Proceedings of the IEEE …, 2014 - cv-foundation.org [http://www.cv-foundation.org/openaccess/content_cvpr_2014/html/Li_DeepReID_Deep_Filter_2014_CVPR_paper.html]
-* Person re-identification by LOMO(local maximal occurrence) representation and metric learning<br>S Liao, Y Hu, X Zhu, SZ Li - … of the IEEE Conference on Computer …, 2015 - cv-foundation.org [http://www.cv-foundation.org/openaccess/content_cvpr_2015/html/Liao_Person_Re-Identification_by_2015_CVPR_paper.html]
-* Person re-identification using kernel-based metric learning methods<br>F Xiong, M Gou, O Camps, M Sznaier - European conference on computer …, 2014 - Springer [http://link.springer.com/chapter/10.1007/978-3-319-10584-0_1]
+===Person re-identification by '''LOMO'''(local maximal occurrence) representation and metric learning===
+S Liao, Y Hu, X Zhu, SZ Li - … of the IEEE Conference on Computer …, 2015 - cv-foundation.org [http://www.cv-foundation.org/openaccess/content_cvpr_2015/html/Liao_Person_Re-Identification_by_2015_CVPR_paper.html]
+* Retinex algorithm <blockquote>Retinex considers human lightness and color perception. It aims at producing a color image that is consistent to human observation of the scene. The restored image usually contains vivid color in- formation, especially enhanced details in shadowed regions.</blockquote>
+** multi-scale Retinex algorithm
+* SILTP<blockquote>we also apply the Scale Invariant Local Ternary Pattern (SILTP) [26] descriptor for illumination invariant texture description. SILTP is an im- proved operator over the well-known Local Binary Pattern (LBP) [37]. In fact, LBP has a nice invariant property un- der monotonic gray-scale transforms, but it is not robust to image noises. SILTP improves LBP by introducing a scale invariant local comparison tolerance, achieving invariance to intensity scale changes and robustness to image noises.</blockquote>
+* Bayesian face<blockquote><b>learning the distance function corresponds to estimating the covariant matrices \(\Sigma_I\) and \(\Sigma_E\).</b></blockquote>
+** I : interpersonal , E : extrapersonal. I : 같은 label의 \(\delta\)x, E : 다른 label의 \(\delta\)x.
+===Person re-identification using kernel-based metric learning methods===
+F Xiong, M Gou, O Camps, M Sznaier - European conference on computer …, 2014 - Springer [http://link.springer.com/chapter/10.1007/978-3-319-10584-0_1]
 * Salient color names for person re-identification<br>Y Yang, J Yang, J Yan, S Liao, D Yi, SZ Li - European Conference on …, 2014 - Springer [http://link.springer.com/chapter/10.1007/978-3-319-10590-1_35]
 * An improved deep learning architecture for person re-identification<br>E Ahmed, M Jones, TK Marks - Proceedings of the IEEE …, 2015 - cv-foundation.org [http://www.cv-foundation.org/openaccess/content_cvpr_2015/html/Ahmed_An_Improved_Deep_2015_CVPR_paper.html]
 * Person re-identification by salience matching<br>R Zhao, W Ouyang, X Wang - Proceedings of the IEEE …, 2013 - cv-foundation.org [http://www.cv-foundation.org/openaccess/content_iccv_2013/html/Zhao_Person_Re-identification_by_2013_ICCV_paper.html]
 * Deep metric learning for person re-identification<br>D Yi, Z Lei, S Liao, SZ Li - Pattern Recognition (ICPR), 2014 …, 2014 - ieeexplore.ieee.org [http://ieeexplore.ieee.org/abstract/document/6976727/]
 * A survey of approaches and trends in person re-identification<br>A Bedagkar-Gala, SK Shah - Image and Vision Computing, 2014 - Elsevier [http://www.sciencedirect.com/science/article/pii/S0262885614000262]
 * Person re-identification by video ranking<br>T Wang, S Gong, X Zhu, S Wang - European Conference on Computer …, 2014 - Springer [http://link.springer.com/chapter/10.1007/978-3-319-10593-2_45]
 * Learning to rank in person re-identification with metric ensembles<br>S Paisitkriangkrai, C Shen… - Proceedings of the IEEE …, 2015 - cv-foundation.org [http://www.cv-foundation.org/openaccess/content_cvpr_2015/html/Paisitkriangkrai_Learning_to_Rank_2015_CVPR_paper.html]